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zulissimeta committed Jul 14, 2024
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106 changes: 53 additions & 53 deletions _downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt

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44 changes: 22 additions & 22 deletions _downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
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2024-07-13 04:31:12 (INFO): Running in non-distributed local mode
2024-07-13 04:31:12 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem
2024-07-13 04:31:13 (INFO): amp: true
2024-07-14 21:59:31 (INFO): Running in non-distributed local mode
2024-07-14 21:59:31 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem
2024-07-14 21:59:32 (INFO): amp: true
cmd:
checkpoint_dir: ./checkpoints/2024-07-13-04-30-56
commit: aacb883
checkpoint_dir: ./checkpoints/2024-07-14-22-00-32
commit: c2f8928
identifier: ''
logs_dir: ./logs/tensorboard/2024-07-13-04-30-56
logs_dir: ./logs/tensorboard/2024-07-14-22-00-32
print_every: 10
results_dir: ./results/2024-07-13-04-30-56
results_dir: ./results/2024-07-14-22-00-32
seed: 0
timestamp_id: 2024-07-13-04-30-56
version: 0.1.dev1+gaacb883
timestamp_id: 2024-07-14-22-00-32
version: 0.1.dev1+gc2f8928
dataset: {}
evaluation_metrics:
metrics:
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trainer: ocp
val_dataset: {}

2024-07-13 04:31:13 (INFO): rank: 0: Sampler created...
2024-07-13 04:31:13 (INFO): Batch balancing is disabled for single GPU training.
2024-07-13 04:31:13 (INFO): Loading model: gemnet_t
2024-07-13 04:31:15 (INFO): Loaded GemNetT with 31671825 parameters.
2024-07-13 04:31:15 (WARNING): log_summary for Tensorboard not supported
2024-07-13 04:31:16 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt
2024-07-13 04:31:16 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint.
2024-07-13 04:31:16 (WARNING): Scale factor comment not found in model
2024-07-13 04:31:16 (INFO): Predicting on test.
2024-07-14 21:59:32 (INFO): rank: 0: Sampler created...
2024-07-14 21:59:32 (INFO): Batch balancing is disabled for single GPU training.
2024-07-14 21:59:32 (INFO): Loading model: gemnet_t
2024-07-14 21:59:34 (INFO): Loaded GemNetT with 31671825 parameters.
2024-07-14 21:59:34 (WARNING): log_summary for Tensorboard not supported
2024-07-14 21:59:34 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt
2024-07-14 21:59:34 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint.
2024-07-14 21:59:34 (WARNING): Scale factor comment not found in model
2024-07-14 21:59:34 (INFO): Predicting on test.
device 0: 0%| | 0/3 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
storage = elem.storage()._new_shared(numel)
/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
storage = elem.storage()._new_shared(numel)
device 0: 33%|███████████▋ | 1/3 [00:05<00:11, 5.70s/it]device 0: 67%|███████████████████████▎ | 2/3 [00:08<00:03, 3.96s/it]device 0: 100%|███████████████████████████████████| 3/3 [00:11<00:00, 3.49s/it]device 0: 100%|███████████████████████████████████| 3/3 [00:11<00:00, 3.80s/it]
2024-07-13 04:31:27 (INFO): Writing results to ./results/2024-07-13-04-30-56/ocp_predictions.npz
2024-07-13 04:31:27 (INFO): Total time taken: 11.534403562545776
Elapsed time = 17.8 seconds
device 0: 33%|███████████▋ | 1/3 [00:03<00:06, 3.13s/it]device 0: 67%|███████████████████████▎ | 2/3 [00:06<00:03, 3.02s/it]device 0: 100%|███████████████████████████████████| 3/3 [00:08<00:00, 2.97s/it]device 0: 100%|███████████████████████████████████| 3/3 [00:09<00:00, 3.01s/it]
2024-07-14 21:59:43 (INFO): Writing results to ./results/2024-07-14-22-00-32/ocp_predictions.npz
2024-07-14 21:59:43 (INFO): Total time taken: 9.158892154693604
Elapsed time = 15.3 seconds
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5 changes: 4 additions & 1 deletion _sources/index.md
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<h4 align="center">

![tests](https://github.com/FAIR-Chem/fairchem/actions/workflows/test.yml/badge.svg?branch=main)
[![Static Badge](https://img.shields.io/badge/python-3.9%2B-blue)](https://www.python.org/downloads/)
![documentation](https://github.com/FAIR-Chem/fairchem/actions/workflows/deploy_docs.yml/badge.svg?branch=main)
![Static Badge](https://img.shields.io/badge/python-3.9%2B-blue)

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new/FAIR-Chem/fairchem?quickstart=1)

</h4>

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14 changes: 7 additions & 7 deletions core/fine-tuning/fine-tuning-oxides.html
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Expand Up @@ -828,7 +828,7 @@ <h1>Fine tuning a model<a class="headerlink" href="#fine-tuning-a-model" title="
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 67.8 seconds.
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 67.4 seconds.
</pre></div>
</div>
<img alt="../../_images/e09235df67f6a4f604e2dc396140b3979de3a415db6696093790df3189ca2edf.png" src="../../_images/e09235df67f6a4f604e2dc396140b3979de3a415db6696093790df3189ca2edf.png" />
Expand Down Expand Up @@ -907,7 +907,7 @@ <h1>Fine tuning the checkpoint<a class="headerlink" href="#fine-tuning-the-check
</div>
</div>
<div class="cell_output docutils container">
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2339/1448814737.py:12: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2280/1448814737.py:12: DeprecationWarning: Please use atoms.calc = calc
atoms.set_calculator(calc)
</pre></div>
</div>
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<span class="expanded">Hide code cell output</span>
</summary>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time = 205.9 seconds
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time = 203.2 seconds
</pre></div>
</div>
</div>
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</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;fine-tuning/checkpoints/2024-07-13-04-26-40-ft-oxides&#39;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;fine-tuning/checkpoints/2024-07-14-21-54-08-ft-oxides&#39;
</pre></div>
</div>
</div>
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</div>
</div>
<div class="cell_output docutils container">
<img alt="../../_images/d5aa0b1d568bc4551e72d7676f8149ff52662ef2090741232c280992d0c18083.png" src="../../_images/d5aa0b1d568bc4551e72d7676f8149ff52662ef2090741232c280992d0c18083.png" />
<img alt="../../_images/2afa38ee2ad4f3a3071f9f940aa53f830cf5c83ce9bf222f0930cf66f6b1622f.png" src="../../_images/2afa38ee2ad4f3a3071f9f940aa53f830cf5c83ce9bf222f0930cf66f6b1622f.png" />
</div>
</div>
<div class="cell docutils container">
Expand All @@ -1286,7 +1286,7 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>New MAE = 0.042 eV/atom
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>New MAE = 0.789 eV/atom
</pre></div>
</div>
</div>
Expand All @@ -1305,7 +1305,7 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
</div>
</div>
<div class="cell_output docutils container">
<img alt="../../_images/c84cdf1f1c563ab775269291ed00d65161ab7c669704177bfc44d6c7082ee750.png" src="../../_images/c84cdf1f1c563ab775269291ed00d65161ab7c669704177bfc44d6c7082ee750.png" />
<img alt="../../_images/4824685f0ad98d72e49a4607601630c480c1bb562b7de0372abf12f6a4814109.png" src="../../_images/4824685f0ad98d72e49a4607601630c480c1bb562b7de0372abf12f6a4814109.png" />
</div>
</div>
<p>It is possible to continue refining the fit. The simple things to do are to use more epochs of training. Eventually the MAE will stabilize, and then it may be necessary to adjust other optimization parameters like the learning rate (usually you decrease it).</p>
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38 changes: 19 additions & 19 deletions core/gotchas.html
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Expand Up @@ -923,7 +923,7 @@ <h1>I get wildly different energies from the different models<a class="headerlin
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
</pre></div>
</div>
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/1677958285.py:11: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/1677958285.py:11: DeprecationWarning: Please use atoms.calc = calc
slab.set_calculator(calc)
</pre></div>
</div>
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
</pre></div>
</div>
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/2284884232.py:9: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/2284884232.py:9: DeprecationWarning: Please use atoms.calc = calc
slab.set_calculator(calc)
</pre></div>
</div>
Expand Down Expand Up @@ -989,11 +989,11 @@ <h1>I get wildly different energies from the different models<a class="headerlin
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
</pre></div>
</div>
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/898007276.py:7: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/898007276.py:7: DeprecationWarning: Please use atoms.calc = calc
slab.set_calculator(calc)
</pre></div>
</div>
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.6891541481018066
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.680762767791748
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -1458,7 +1458,7 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
</div>
</div>
<div class="cell_output docutils container">
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/3906293788.py:3: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/3906293788.py:3: DeprecationWarning: Please use atoms.calc = calc
atoms.set_calculator(calc)
</pre></div>
</div>
Expand Down Expand Up @@ -1502,11 +1502,11 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
</div>
</div>
<div class="cell_output docutils container">
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/4094489779.py:3: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/4094489779.py:3: DeprecationWarning: Please use atoms.calc = calc
atoms.set_calculator(calc)
</pre></div>
</div>
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.42973634600639343
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.4297374486923218
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -1553,21 +1553,21 @@ <h1>Stochastic simulation results<a class="headerlink" href="#stochastic-simulat
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
</pre></div>
</div>
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/3095522216.py:11: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/3095522216.py:11: DeprecationWarning: Please use atoms.calc = calc
slab.set_calculator(calc)
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.2139868021011353 1.655421765979762e-06
1.2139854431152344
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.2139868259429931 1.5295996601434173e-06
1.213986873626709
1.2139837741851807
1.2139875888824463
1.2139866352081299
1.2139835357666016
1.213986873626709
1.2139892578125
1.213984489440918
1.2139878273010254
1.2139861583709717
1.2139887809753418
1.2139880657196045
1.2139854431152344
1.213986873626709
1.2139883041381836
1.213989019393921
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -1605,11 +1605,11 @@ <h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
</pre></div>
</div>
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2609/2981184886.py:11: DeprecationWarning: Please use atoms.calc = calc
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2621/2981184886.py:11: DeprecationWarning: Please use atoms.calc = calc
slab.set_calculator(calc)
</pre></div>
</div>
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0.00847879, 0.01409753, -0.05882847], dtype=float32)
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0.00848129, 0.01409211, -0.05882668], dtype=float32)
</pre></div>
</div>
</div>
Expand All @@ -1622,7 +1622,7 @@ <h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([-5.6461431e-08, -7.6834112e-09, -1.1920929e-07], dtype=float32)
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([-6.0361344e-08, -2.6542693e-08, 7.1525574e-07], dtype=float32)
</pre></div>
</div>
</div>
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